BorgwardtLab / WWLLinks
Wasserstein Weisfeiler-Lehman Graph Kernels
☆83Updated 11 months ago
Alternatives and similar repositories for WWL
Users that are interested in WWL are comparing it to the libraries listed below
Sorting:
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆197Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- ☆62Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆188Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆43Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆28Updated 3 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆49Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- ☆155Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆61Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago